{"id":"W4391658313","doi":"10.32920/25193477.v1","title":"Well Enough to Work? Examining the Mental Health Outcomes of Precarious and Non- Status Migrants who are Precariously Employed in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Precarity; Mental health; Deportation; Precarious work; Immigration; Demographic economics; Political science; Population; Social exclusion; Work (physics); Sociology; Economic growth; Criminology; Psychology; Gender studies; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276882,0.0004019653,0.0007051357,0.001975115,0.009920172,0.003403136,0.001755761,0.0007541145,0.003287453],"category_scores_gemma":[0.005022148,0.0003638786,0.0006393404,0.003795676,0.002660256,0.00108412,0.002810841,0.002268947,0.0003830931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04278719,"about_ca_system_score_gemma":0.05831831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945851,"about_ca_topic_score_gemma":0.9973821,"domain_scores_codex":[0.9985437,0.0001434996,0.00004287259,0.0001122534,0.0002648953,0.0008928495],"domain_scores_gemma":[0.9954332,0.000360404,0.0007751993,0.000106114,0.001461346,0.001863718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002282413,0.0002349916,0.8794087,0.0002137011,0.00007774457,0.0003907837,0.09044812,0.0001104245,0.0002312858,0.0008192264,0.006497205,0.02133963],"study_design_scores_gemma":[0.00001139386,0.00005394455,0.8629684,0.000317269,0.00003767133,0.00006058234,0.1329145,0.00009925961,0.0000721729,0.0000933077,0.003341844,0.00002946789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936349,0.0007809634,0.00002228372,0.001625594,0.00002973142,0.00004303709,0.0008585544,0.000002824316,0.003002075],"genre_scores_gemma":[0.9955869,0.001175324,0.00009335757,0.0005698252,0.00001375182,0.00005375307,0.0006579231,0.00000699407,0.001842209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04278719,"threshold_uncertainty_score":0.3104442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476326562223516,"score_gpt":0.3663884566478425,"score_spread":0.3187558004254909,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}